Physna in real life.

Physna can easily match parts from any brand or type of 3D scanner – including LiDAR equipped smartphones – to your existing geometric object database for quick, easy, and accurate quality control.

Once a part is scanned, Physna automatically sets the correct orientation to compare the scan against the geometric object Physna has created.

A heatmap visualizes any deviations in the scan from the geometric object, with each color corresponding to an exact measurement of deviation. This helps you easily identify whether any area of the scanned part is outside the tolerance range for that part.

Physna can significantly reduce your procurement waste while optimizing for lower costs by visualizing not only where every part gets used, but also where every part can be used, making the identification of part alternatives simple and easy. Non-perfect fits can be seen with deviations visualized, letting you decide if a change is acceptable or not.

These insights empower you to make quick, informed decisions when ordering parts, including the ability to recognize when a bulk order from a single vendor could reduce your costs.

The average engineer spends 12 hours a week searching for models — and even more time redesigning existing models.

With Physna, you’ll quickly find the models you need for projects. Physna AI learns from your models and, over time, makes it even easier to find models and their relationships, including components contained in assemblies, alternative components, and alternative uses of those components.

You can find parts with virtually any known information, including shape, function, estimated measurement(s), classification, material, and cost, which means you can spend less time searching and more time designing.

Supply chains must be resilient. Geopolitical uncertainty, natural disasters, pandemic, trade-disputes, and increasing focus on ethical sources are risks that need to be actively managed with increasing detail.

Physna provides unrivaled utility for supporting supply chain risk management by helping you easily identify production alternatives and helping you determine how quickly those alternatives can be deployed.